Instructions to use eeeebbb2/f6aa56ba-ffc8-4ffa-b697-91fb94fda347 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/f6aa56ba-ffc8-4ffa-b697-91fb94fda347 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/f6aa56ba-ffc8-4ffa-b697-91fb94fda347") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b25b4c6b6feb793cb648e012166001a058d803531c6e2c8743b0433d7175d86
- Size of remote file:
- 6.84 kB
- SHA256:
- 859aae1ba2a383ba81ce308ca7a5dd2c927d4110729f9006ab8ba7a3055d1908
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